A conversational AI agent for hassle-free restaurant table reservations on WhatsApp

AI-powered conversational agent for barber shops using RAG, Prompt Engineering, and LLMs. Automates WhatsApp support 24/7

An AI-powered automation agent built on n8n that lets users manage Gmail and Google Calendar directly from WhatsApp. It combines workflow automation, NLP, and API integrations to create a conversational assistant that handles email and calendar tasks through simple chat commands.

# 🤖 WhatsApp Agent with Chainlit + UltraMsg API An **AI-powered conversational WhatsApp Agent** that allows you to send messages using **natural language commands**. Just type in the Chainlit UI, for example:

**UNDER DEVELOPMENT** AI-Powered Conversational Agents for Smart IoT Control, Monitoring, and Predictive Maintenance via Chat Interfaces (Telegram, WhatsApp, Slack). Built with LLMs + MQTT + FastAPI.

AI-powered WhatsApp agent built with n8n. Uses OpenAI for conversational replies, retrieves context from memory, and logs interactions to a database. Automates customer support with instant responses and message history.

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A conversational AI agent for WhatsApp, providing helpful support and explanations.

AI-powered WhatsApp automation agent built with n8n, APIs and conversational workflows.

Conversational AI agent for African businesses — supports WhatsApp, web chat, bookings, and service automation.

Conversational AI WhatsApp Agent powered by n8n, OpenAI, and the WhatsApp Business Cloud API — supports text, image, and audio messages.

AI-powered CRM Agent with WhatsApp automation, real-time reminders, and conversational memory built using FastAPI, Twilio, and APScheduler.

A conversational AI agent built with LangGraph that qualifies leads via WhatsApp. It handles greetings, answers product inquiries using RAG, and captures lead information.

An AI-powered WhatsApp assistant built using Twilio and an agent-based architecture. The system receives user messages via WhatsApp, processes them through an intelligent AI agent with tool access, and delivers real-time, automated responses. Designed as a production-style conversational AI system for support, automation, and smart task handling.

Create a WhatsApp chatbot using Python, Twilio, and OpenAI. Follow our guide for step-by-step instructions, code samples, and configurations. Build your AI-powered conversational agent easily!

WhatsApp Multimodal AI Agent Built an AI conversational agent integrated with WhatsApp (Z-API) capable of understanding text, voice notes (with transcription), images, and PDF files. Implemented persistent user memory using PostgreSQL and optimized session handling with Redis. Designed a confirmation-based human handoff flow for support escalation.

AI-powered WhatsApp automation agent built using Node.js and WhatsApp Web.js. The system handles intelligent message processing, workflow automation, and chatbot responses using LLM integration. Designed for scalable, real-time conversational interactions and business automation.

Developed a conversational AI-powered WhatsApp Assistant integrating Twilio, FastAPI, and an LLM-powered Agent to enable remote, natural language management of the user's Gmail account (reading, replying, sending, and summarizing emails).

A collection of AI agents built for the Plivo platform, designed to work seamlessly across multiple channels including Voice, WhatsApp, Web-Chat, SMS, Slack, and other channels. This repository serves as a central hub for sharing, collaborating, and deploying Plivo-powered conversational agents.

Sasyam Automation is a WhatsApp-based automation system built using JavaScript, Meta WhatsApp Business API, and Yellow.ai to handle customer interactions automatically. It processes incoming messages, responds to common queries through conversational workflows, and escalates complex requests to a live agent or ticket system when needed.